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Metabolite detection using organic electronic devices for point-of-care diagnostics

Abstract : Rapid and early diagnosis of disease plays a major role in preventative healthcare. Undoubtedly, technological evolutions, particularly in microelectronics and materials science, have made the hitherto utopian scenario of portable, point-of-care personalized diagnostics a reality. Organic electronic materials, having already demonstrated a significant technological maturity with the development of high tech products such as displays for smartphones or portable solar cells, have emerged as especially promising candidates for biomedical applications. Their soft and fuzzy nature allows for an almost seamless interface with the biological milieu rendering these materials ideally capable of bridging the gap between electronics and biology. The aim of this thesis is to explore and validate the capabilities of organic electronic materials and devices in real-world biological sensing applications focusing on metabolite sensing, by combining both the right materials and device engineering. We show proof-of-concept studies including microfluidic integrated organic electronic platforms for multiple metabolite detection in bodily fluids, as well as more complex organic transistor circuits for detection in tumor cell cultures. We finally show the versatility of organic electronic materials and devices by demonstrating other sensing strategies such as nucleic acid detection using a simple biofunctionalization approach. Although the focus is on in vitro metabolite monitoring, the findings generated throughout this work can be extended to a variety of other sensing strategies as well as to applications including on body (wearable) or even in vivo sensing.
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Submitted on : Friday, February 1, 2019 - 12:24:05 PM
Last modification on : Tuesday, January 18, 2022 - 1:31:29 PM
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  • HAL Id : tel-02003606, version 1



Anna Maria Pappa. Metabolite detection using organic electronic devices for point-of-care diagnostics. Other. Université de Lyon, 2017. English. ⟨NNT : 2017LYSEM020⟩. ⟨tel-02003606⟩



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